ruptures
orbit
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ruptures | orbit | |
---|---|---|
1 | 1 | |
1,480 | 1,804 | |
- | 1.2% | |
5.7 | 7.8 | |
4 days ago | 30 days ago | |
Python | Python | |
BSD 2-clause "Simplified" License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ruptures
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[D] Inverse of Event Detection - Temporal Disruption Analysis
For offline CPD I’ve seen projects that use ruptures. In addition to the paper mentioned above this survey also felt quite accessible.
orbit
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Uber Releases V1.1 of Orbit: A Python Package to Perform Bayesian Time-Series Analysis and Forecasting
Github: https://github.com/uber/orbit
What are some alternatives?
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neural_prophet - NeuralProphet: A simple forecasting package
madmom - Python audio and music signal processing library
pmdarima - A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
expression_evaluator - A basic expression evaluator and depth analyzer
darts - A python library for user-friendly forecasting and anomaly detection on time series.
pywt - PyWavelets - Wavelet Transforms in Python
pyro - Deep universal probabilistic programming with Python and PyTorch
SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.
fracdiff - Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial Machine Learning" by M. Prado.
audio-reactive-led-strip - :musical_note: :rainbow: Real-time LED strip music visualization using Python and the ESP8266 or Raspberry Pi
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.